Responsibilities: This position includes duties related to data analytics within a computational-molecular-microbiology laboratory, including: Installation and maintenance of numerous open-source bioinformatic pipelines script and pipeline development for custom WGS and metagenomic data analysis (including bioinformatics and statistics) routine maintenance of the lab's dedicated high-performance server establishment of data-related SOPs and protocols establishment and/or maintenance of the lab's various data analysis accounts, including GitHub, Benchling, Wiki, etc… creation and development of internally-facing, sustainable training modules for commonly used bioinformatics tools and workfows
Effort: 80% of time will be spent on data analytics and related activities 20% of time will be spent on training and support of lab personnel
All required qualifications must be documented on application materials.
Required Qualifications: Bachelor's degree that includes extensive work with high-throughput sequencing datasets and at least one year of relevant experience or a combination of education and relevant work experience totaling 5 years. Previous and/or current development and/or maintenance of open-source tools or code Ability to develop custom scripts for advanced analysis of high-throughput sequence data (in any language(s)) Strong knowledge of R and python or perl Experience navigating Linux-based servers through the command-line interface Attention to detail and strong capacity for organization of tasks and workflows Ability to work independently yet collaboratively Strong work ethic with demonstrated productivity Solid communication skills
Preferred Qualifications: Master's Degree Experience specifically with microbiome, metagenomic or whole-genome sequence datasets
Internal Number: 337845
About University of Minnesota, Twin Cities
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